 Ancestral Inference in Population Genetics Models with Selection (with Discussion)Matthew Stephens and Peter Donnelly Australian & New Zealand Journal of Statistics, 2003, vol. 45, issue 4, 395-430 Abstract: A new algorithm is presented for exact simulation from the conditional distribution of the genealogical history of a sample, given the composition of the sample, for population genetics models with general diploid selection. The method applies to the usual diffusion approximation of evolution at a single locus, in a randomly mating population of constant size, for mutation models in which the distribution of the type of a mutant does not depend on the type of the progenitor allele; this includes any model with only two alleles. The new method is applied to ancestral inference for the two‐allele case, both with genic selection and heterozygote advantage and disadvantage, where one of the alleles is assumed to have resulted from a unique mutation event. The paper describes how the method could be used for inference when data are also available at neutral markers linked to the locus under selection. It also informally describes and constructs the non‐neutral Fleming–Viot measure‐valued diffusion. Date: 2003 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:anzsta:v:45:y:2003:i:4:p:395-430 Ordering information: This journal article can be ordered from Access Statistics for this article Australian & New Zealand Journal of Statistics is currently edited by Chris J. Lloyd, Rob J. Hyndman and Russell B. Millar More articles in Australian & New Zealand Journal of Statistics from Australian Statistical Publishing Association Inc. |
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